Influence of grain shape on stress-dilatancy parameters

Arda, Çağdaş; Çinicioğlu, Özer

doi:10.1007/s10035-021-01098-2

Cited by 12 publications

(2 citation statements)

References 74 publications

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“…Recently, with the application of the computer image processing technology, the accuracy of the particle shape measurements has been improved. An image-based method is known to be a relatively convenient and accurate method, which can obtain particle shape data by using image processing software [22][23][24][25][26][27][28][29][30][31][32][33][34]. Basically, particles are usually pictured finely or roughly and the photos are processed in specific software such as ImageJ [22,31,33] and OnDemand3D [34] to obtain the particle shape indices.…”

Section: Introductionmentioning

confidence: 99%

“…An image-based method is known to be a relatively convenient and accurate method, which can obtain particle shape data by using image processing software [22][23][24][25][26][27][28][29][30][31][32][33][34]. Basically, particles are usually pictured finely or roughly and the photos are processed in specific software such as ImageJ [22,31,33] and OnDemand3D [34] to obtain the particle shape indices. Some researchers used professional instruments to measure the particle shape of sand and review the particle shape effect on mechanical behavior such as QIC-PIC [23,24,29], Sedimaging [26], and CX2 [32] systems.…”

Section: Introductionmentioning

confidence: 99%

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An Image-Based Gradation Calculation Method considering Crushed Stone Morphology

et al. 2022

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An image-based gradation calculation method considering crushed stone morphology is proposed in this paper. Eight kinds of crushed stones are prepared to figure out the effect of the particle shape on the gradation. All particles are pictured, and the photos are processed to obtain particle shape indices by using the image-based method. A minimum Feret diameter analysis method is used, which can reflect the influence of the particle shape. Then, the paper proposes a developed overall regularity to describe the morphology of particles, which is calculated by the weight of three shape indices: aspect ratio, convexity, and sphericity. The developed overall regularity is applied on gradation curve equations to provide an image-based gradation calculation method. And the provided method is validated to well fit the actual case. Furthermore, the method is also applied on two examples of gradation designation and the result proves to be feasible and practicable.

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